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Spatial Statistics Jobs (NOW HIRING)

Sr. Data Analyst (part-time, hybrid)

Arlington, VA · On-site +1

$98.90K - $124.80K/yr

Work with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languages.

Sr. Data Analyst (part-time, hybrid)

Arlington, VA · Hybrid

$98.90K - $124.80K/yr

Work with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languages.

Experience in and/or eagerness to learn about agriculture, agronomy, GIS, spatial statistics, plant biology, microbiology, agricultural economics, and the plant microbiome. * Absolutely high fluency ...

Sr. Data Analyst (part-time, hybrid)

Arlington, VA · Hybrid

$98.90K - $124.80K/yr

Work with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languages.

Postdoctoral Fellow

Moscow, ID · On-site

$42.50K - $57.70K/yr

Proficiency in scientific programming languages (e.g., Python, R) and geospatial tools (e.g., ArcGIS, QGIS), spatial statistics, or cloud computing * Experience working in collaborative research ...

The ideal candidate will work at regional, national, and/or global spatial scales using tools in remote sensing, GIS, mobile platforms (planes, drones, gliders, etc.), spatial statistics, and/or ...

Postdoctoral Fellow

Moscow, ID

$42.50K - $57.70K/yr

Proficiency in scientific programming languages (e.g., Python, R) and geospatial tools (e.g., ArcGIS, QGIS), spatial statistics, or cloud computing * Experience working in collaborative research ...

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Spatial Statistics information

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$40.5K

$83.7K

$117K

How much do spatial statistics jobs pay per year?

As of Jun 4, 2026, the average yearly pay for spatial statistics in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is a Spatial Statistics job?

A Spatial Statistics job involves analyzing and interpreting spatial data to identify patterns, relationships, and trends across geographic space. Professionals in this field use statistical techniques, geographic information systems (GIS), and data modeling to support decision-making in areas such as environmental science, urban planning, public health, and transportation. They work with large datasets, apply geostatistical methods, and create visual representations like maps and heatmaps. Common roles include spatial data analyst, GIS specialist, and environmental statistician.

What are the key skills and qualifications needed to thrive in the Spatial Statistics position, and why are they important?

To thrive in a Spatial Statistics role, you need a solid background in advanced mathematics, statistical modeling, and spatial data analysis, typically with a degree in statistics, geography, or a related quantitative field. Familiarity with GIS software (e.g., ArcGIS, QGIS), statistical programming languages (such as R or Python), and spatial databases is essential, and certifications in GIS or data science can be advantageous. Strong problem-solving skills, effective communication, and attention to detail enable you to interpret complex data and collaborate with multidisciplinary teams. These skills are crucial for analyzing geospatial patterns, presenting actionable insights, and supporting data-driven decision-making across various industries.

What are some typical projects or tasks a Spatial Statistics professional might handle on a daily basis?

Spatial Statistics professionals often work on projects involving the collection, analysis, and interpretation of location-based data to identify patterns, trends, and relationships within geographic spaces. Daily tasks can include cleaning and integrating spatial datasets, developing statistical models, running geospatial analyses, and creating maps or visualizations to communicate findings. Collaboration with urban planners, environmental scientists, data scientists, or public health professionals is common to solve real-world problems using spatial insight. The work environment can be a blend of independent data analysis and teamwork, and many positions offer opportunities for growth into project management, advanced analytics, or GIS leadership roles.
What cities are hiring for Spatial Statistics jobs? Cities with the most Spatial Statistics job openings:
What are the most commonly searched types of Spatial Statistics jobs? The most popular types of Spatial Statistics jobs are:
What states have the most Spatial Statistics jobs? States with the most job openings for Spatial Statistics jobs include:
Infographic showing various Spatial Statistics job openings in the United States as of May 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 71% Physical, 2% Hybrid, and 27% Remote job distribution, with an average salary of $83,657 per year, or $40.2 per hour.
Research Statistician (Scientist 2/3)

Research Statistician (Scientist 2/3)

Los Alamos National Laboratory

Los Alamos, NM

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Los Alamos National Laboratory rating

9.2

Company rating: 9.2 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

7th of 103 rated laboratories


Job description

What You Will Do
Be part of an outstanding team of Ph.D. statisticians that is consistently recognized for award-winning research and high-impact contributions here in the Statistics Group at Los Alamos National Laboratory. As a statistician in our group, you will develop solutions to novel, meaningful, and complex interdisciplinary problems in partnership with world-leading scientists across an array of domains. As an effective member of our group, you will bring extensive technical expertise, communication, and problem-solving skills to our collaborative environment, partnering with domain experts in areas that span materials science, environmental modeling, cosmology, epidemiology, cyber security, image analysis, and complex engineered systems, including the nuclear stockpile. Simulation, high-performance computing, and AI/ML play a growing role in many of these applications. You will leverage your proficiency in statistics and data science technical areas, with opportunities to draw upon and extend methods from spatial statistics, time series, machine learning, reliability, design of experiments, computer experiments, Bayesian methods, functional data analysis, stochastic processes, hierarchical models, uncertainty quantification, data fusion, graphical models, advanced regression techniques, and statistical computing, to develop and execute strategies that answer important questions, create valuable and actionable results, and contribute directly to advancing science and supporting the national security mission.
This position will be filled at either the Scientist 2 or Scientist 3 level, depending on the skills of the selected candidate. Additional job responsibilities (outlined below) will be assigned if the candidate is hired at the higher level.
Scientist 2 $104,100 - $172,200
A successful candidate will actively participate in collaborative projects and research activities in a broad cross section of statistics and scientific applications. Duties of this job include contributing to innovation in statistical methodology, advancing basic and applied science through rigorous statistical modeling, and participating in professional activities, including peer-reviewed publications, presentations, and service to the statistics community.
Scientist 3 $125,200 - $211,300
In addition to what was outlined at the lower level, at this level a successful candidate will take a larger role in project development, leadership, and mentoring.

What You Need
Minimum Job Requirements:
  • Technical Expertise: Expert knowledge and proven experience in statistics and data science methods, including the theoretical and mathematical framework and an ability to apply principles and techniques for application-driven problem-solving.
  • Novel Methodology Development: Demonstrated ability to conduct statistical research, contributing to advancements in the field of statistics that are motivated by real-world applications.
  • Collaboration: Demonstrated ability to thrive in a collaborative environment, displaying strong interpersonal skills and facility to work cross-functionally to answer complex questions in challenging domains.
  • Communication: Effective written and oral communication skills with diverse collaborators and audiences
  • Computing: Strong statistical computing skills including experience using software for advanced statistical analysis (e.g., R, MATLAB, Python, Julia).

Additional Job Requirements for Scientist 3:
In addition to the requirements outlined above, qualification at the higher level requires:
  • Experience: On-the-job experience beyond Ph.D. and postdoctoral training.
  • Leadership: Experience planning, directing, and executing technical projects, demonstrating leadership, independence, and accountability.
  • Production: A substantial record of achievement through publications, presentations, or technical products.

Education/Experience at lower level: Positions requires a Bachelor' degree in a STEM field from an accredited college and university and 4 years of related experience, typically with post-doctoral research experience at a university or national lab or equivalent experience directly related to the occupation
Education/Experience at higher level: Position requires a Master's degree in a STEM field from an accredited college or university and 6 years of relevant experience or an equivalent combination of education and experience directly related to the occupation.
Desired Qualifications:
  • PhD in Statistics or closely related field is very strongly desired.
  • Experience developing collaborative research proposals.
  • History of professional engagement such as through peer review and service to the field of statistics.
  • Demonstrated scientific accomplishment and expertise in one or more technical areas of the group.
  • Experience with statistical applications in the physical and engineering sciences.
  • Familiarity with scientific computing (e.g., C/C++, Python) or high-performance computing.

Work Location: The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
Position commitment: Regular appointment employees are required to serve a period of continuous service in their current position in order to be eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the time required, they may only apply for Laboratory jobs with the documented approval of their Division Leader. The position commitment for this position is 1 year.
Note to Applicants:
Please submit a CV, cover letter, and contact information for 3 references who can provide letters of recommendation.
Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
Where You Will Work
Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:
§ PPO or High Deductible medical insurance with the same large nationwide network
§ Dental and vision insurance
§ Free basic life and disability insurance
§ Paid childbirth and parental leave
§ Award-winning 401(k) (6% matching plus 3.5% annually)
§ Learning opportunities and tuition assistance
§ Flexible schedules and time off (PTO and holidays)
§ Onsite gyms and wellness programs
§ Extensive relocation packages (outside a 50 mile radius)
Additional Details
Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
Clearance: Q (Position will be cleared to this level). Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government, and must meet eligibility requirements* for access to classified matter. This position requires a Q clearance. and obtaining such clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad.
*Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947.

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